AI Medical Compendium Journal:
Science (New York, N.Y.)

Showing 31 to 40 of 169 articles

Toward the eradication of medical diagnostic errors.

Science (New York, N.Y.)
The medical community does not broadcast the problem, but there are many studies that have reinforced a serious issue with diagnostic errors. A recent study concluded: "We estimate that nearly 800,000 Americans die or are permanently disabled by diag...

Machine learning predicts which rivers, streams, and wetlands the Clean Water Act regulates.

Science (New York, N.Y.)
We assess which waters the Clean Water Act protects and how Supreme Court and White House rules change this regulation. We train a deep learning model using aerial imagery and geophysical data to predict 150,000 jurisdictional determinations from the...

Illusory generalizability of clinical prediction models.

Science (New York, N.Y.)
It is widely hoped that statistical models can improve decision-making related to medical treatments. Because of the cost and scarcity of medical outcomes data, this hope is typically based on investigators observing a model's success in one or two d...

Practical challenges for precision medicine.

Science (New York, N.Y.)
The prediction of individual treatment responses with machine learning faces hurdles.

AI is transforming how science is done. Science education must reflect this change.

Science (New York, N.Y.)
There is growing interest in the use of artificial intelligence (AI) in science education. Many issues and questions raised about the role of AI in science education target primarily science learning objectives. They relate to AI's capacity to genera...

Delivering drugs with microrobots.

Science (New York, N.Y.)
Biomedical microrobots could overcome current challenges in targeted therapies.

Humans are biocultural, science should be too.

Science (New York, N.Y.)
COVID-19 is restructuring societies. Loneliness is a global health threat. Large language models are outputting biased health care information, and human-artificial intelligence (AI) interfaces are reshaping how we live. For most humans, technology, ...

Predicting pathogenic protein variants.

Science (New York, N.Y.)
Machine-learning algorithm uses structure prediction to spot disease-causing mutations.

As artificial intelligence goes multimodal, medical applications multiply.

Science (New York, N.Y.)
Machines don't have eyes, but you wouldn't know that if you followed the progression of deep learning models for accurate interpretation of medical images, such as x-rays, computed tomography (CT) and magnetic resonance imaging (MRI) scans, pathology...